Update app.py

app.py

@@ -220,3 +220,33 @@ iface = gr.Interface(
 
 # Launch the app
 iface.launch()
+from tensorflow.keras.models import Sequential
+from tensorflow.keras.layers import Dense, Input
+
+def create_model(input_shape):
+    model = Sequential()
+    model.add(Input(shape=(input_shape,)))  # Explicitly define input shape
+    model.add(Dense(64, activation='relu'))
+    model.add(Dense(32, activation='relu'))
+    model.add(Dense(1, activation='sigmoid'))
+
+    model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
+    return model
+data.loc[:, 'Target'] = np.where(data['Close'].shift(-1) > data['Close'], 1, 0)
+import gradio as gr
+
+def predict_stock(ticker, start_date, end_date):
+    # Your prediction logic
+    return "Prediction result"
+
+interface = gr.Interface(
+    fn=predict_stock,
+    inputs=[
+        gr.inputs.Dropdown(['AAPL', 'MSFT', 'GOOG', 'AMZN', 'TSLA'], label="Stock Ticker"),
+        gr.inputs.Date(label="Start Date"),  # Replace DatePicker with Date
+        gr.inputs.Date(label="End Date")
+    ],
+    outputs="text"
+)
+
+interface.launch()